AI Risk Assessment Ridge

Organisations adopting artificial intelligence face a balancing act. They want to benefit from automation, prediction, and personalisation while avoiding harm, bias, or regulatory penalties. The challenge is that AI systems behave differently from traditional software. They learn from data, adapt over time, and can produce unexpected outputs. A structured approach to evaluating these risks helps organisations move forward with confidence. Why AI Risk Assessment Differs from